{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 217,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<title>Show/Hide data repr</title>\n",
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       "<title>Show/Hide attributes</title>\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
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       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
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       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
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       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
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       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt, dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><div class='xr-wrap'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8edd243c-d8fa-4155-965d-6bf541fc99d7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8edd243c-d8fa-4155-965d-6bf541fc99d7' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>easting</span>: 66</li><li><span class='xr-has-index'>northing</span>: 46</li><li><span class='xr-has-index'>time</span>: 251</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-12a044a6-c044-40f9-b41f-e82cb8bab984' class='xr-section-summary-in' type='checkbox'  checked><label for='section-12a044a6-c044-40f9-b41f-e82cb8bab984' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1980-01-01T01:00:00 ... 1980-01-11T11:00:00</div><input id='attrs-914929b2-599a-42ef-ba58-5db3913d878a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-914929b2-599a-42ef-ba58-5db3913d878a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8777c083-2fdb-44e6-b72d-a6e367afd11b' class='xr-var-data-in' type='checkbox'><label for='data-8777c083-2fdb-44e6-b72d-a6e367afd11b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><pre class='xr-var-data'>array([&#x27;1980-01-01T01:00:00.000000000&#x27;, &#x27;1980-01-01T02:00:00.000000000&#x27;,\n",
       "       &#x27;1980-01-01T03:00:00.000000000&#x27;, ..., &#x27;1980-01-11T09:00:00.000000000&#x27;,\n",
       "       &#x27;1980-01-11T10:00:00.000000000&#x27;, &#x27;1980-01-11T11:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>northing</span></div><div class='xr-var-dims'>(northing)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-125000.0 -122000.0 ... 10000.0</div><input id='attrs-b934c3d8-c836-42b3-9095-c6409987b7dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b934c3d8-c836-42b3-9095-c6409987b7dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40ed5fe6-e4b8-4bb4-8035-2ec84a516a1f' class='xr-var-data-in' type='checkbox'><label for='data-40ed5fe6-e4b8-4bb4-8035-2ec84a516a1f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><pre class='xr-var-data'>array([-125000., -122000., -119000., -116000., -113000., -110000., -107000.,\n",
       "       -104000., -101000.,  -98000.,  -95000.,  -92000.,  -89000.,  -86000.,\n",
       "        -83000.,  -80000.,  -77000.,  -74000.,  -71000.,  -68000.,  -65000.,\n",
       "        -62000.,  -59000.,  -56000.,  -53000.,  -50000.,  -47000.,  -44000.,\n",
       "        -41000.,  -38000.,  -35000.,  -32000.,  -29000.,  -26000.,  -23000.,\n",
       "        -20000.,  -17000.,  -14000.,  -11000.,   -8000.,   -5000.,   -2000.,\n",
       "          1000.,    4000.,    7000.,   10000.], dtype=float32)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>easting</span></div><div class='xr-var-dims'>(easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1557000.0 ... -1362000.0</div><input id='attrs-9d2b15c8-8561-4cd7-8aad-a83dcd4991ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d2b15c8-8561-4cd7-8aad-a83dcd4991ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42484997-7976-49d2-a72f-12ea98260ab8' class='xr-var-data-in' type='checkbox'><label for='data-42484997-7976-49d2-a72f-12ea98260ab8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><pre class='xr-var-data'>array([-1557000., -1554000., -1551000., -1548000., -1545000., -1542000.,\n",
       "       -1539000., -1536000., -1533000., -1530000., -1527000., -1524000.,\n",
       "       -1521000., -1518000., -1515000., -1512000., -1509000., -1506000.,\n",
       "       -1503000., -1500000., -1497000., -1494000., -1491000., -1488000.,\n",
       "       -1485000., -1482000., -1479000., -1476000., -1473000., -1470000.,\n",
       "       -1467000., -1464000., -1461000., -1458000., -1455000., -1452000.,\n",
       "       -1449000., -1446000., -1443000., -1440000., -1437000., -1434000.,\n",
       "       -1431000., -1428000., -1425000., -1422000., -1419000., -1416000.,\n",
       "       -1413000., -1410000., -1407000., -1404000., -1401000., -1398000.,\n",
       "       -1395000., -1392000., -1389000., -1386000., -1383000., -1380000.,\n",
       "       -1377000., -1374000., -1371000., -1368000., -1365000., -1362000.],\n",
       "      dtype=float32)</pre></li></ul></div></li><li class='xr-section-item'><input id='section-e854fa79-0192-4c4c-b20c-f90e7579b5cc' class='xr-section-summary-in' type='checkbox'  ><label for='section-e854fa79-0192-4c4c-b20c-f90e7579b5cc' class='xr-section-summary' >Data variables: <span>(22)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>dw</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a78109b6-c3e8-4439-99b5-70da0b9712d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a78109b6-c3e8-4439-99b5-70da0b9712d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21b29e10-d187-462b-9f36-a71537aec1ae' class='xr-var-data-in' type='checkbox'><label for='data-21b29e10-d187-462b-9f36-a71537aec1ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>wind_from_direction</dd><dt><span>units :</span></dt><dd>degree</dd></dl></div><pre class='xr-var-data'>[762036 values with dtype=float32]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>ERODEDMASS</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cc2a56fc-67ed-48b8-947e-dd5b27d396da' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cc2a56fc-67ed-48b8-947e-dd5b27d396da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7c86320-8039-4edd-bd91-b9c885164884' class='xr-var-data-in' type='checkbox'><label for='data-e7c86320-8039-4edd-bd91-b9c885164884' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>[762036 values with dtype=float32]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>ET</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b84737dd-fa86-47b6-91e4-53fe36a44e3d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b84737dd-fa86-47b6-91e4-53fe36a44e3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5e209f3-89b2-4c67-8aca-b9e5667bf65a' class='xr-var-data-in' type='checkbox'><label for='data-a5e209f3-89b2-4c67-8aca-b9e5667bf65a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>[762036 values with dtype=float32]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>snd</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-81864cd4-b27e-4863-96b8-925784c18857' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81864cd4-b27e-4863-96b8-925784c18857' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee300a95-17c0-45dc-8d0d-03654da6ef44' class='xr-var-data-in' type='checkbox'><label for='data-ee300a95-17c0-45dc-8d0d-03654da6ef44' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_snow_thickness</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><pre class='xr-var-data'>[762036 values with dtype=float32]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>rlds</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9fb87cf0-3149-43b7-b679-a68d8cb6820d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9fb87cf0-3149-43b7-b679-a68d8cb6820d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa04a23c-dbc8-4b19-b20c-3cb7257f02b9' class='xr-var-data-in' type='checkbox'><label for='data-fa04a23c-dbc8-4b19-b20c-3cb7257f02b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_downwelling_longwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W/m2</dd></dl></div><pre class='xr-var-data'>[762036 values with dtype=float32]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>rsds</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a9eeaddd-ebea-4ef6-8935-b4ceaeaabac8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9eeaddd-ebea-4ef6-8935-b4ceaeaabac8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b379b909-f8de-46db-898f-55ab10bcfb9c' class='xr-var-data-in' type='checkbox'><label for='data-b379b909-f8de-46db-898f-55ab10bcfb9c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W/m2</dd></dl></div><pre class='xr-var-data'>[762036 values with dtype=float32]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>MS_HNW</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7b3cc3be-07ac-4786-b987-5db30107c1e7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7b3cc3be-07ac-4786-b987-5db30107c1e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16eaf0eb-182a-4e57-853d-a36fd6ae31cf' class='xr-var-data-in' type='checkbox'><label for='data-16eaf0eb-182a-4e57-853d-a36fd6ae31cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>[762036 values with dtype=float32]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>MS_SNOWPACK_RUNOFF</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8f87c594-fe43-4784-88b4-75ca7dd85652' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f87c594-fe43-4784-88b4-75ca7dd85652' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef03a54c-b282-4c26-846c-7c07f8854ea5' class='xr-var-data-in' type='checkbox'><label for='data-ef03a54c-b282-4c26-846c-7c07f8854ea5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>Snowpack_runoff</dd><dt><span>long_name :</span></dt><dd>Runoff at bottom of snowpack (positive = downward flux)</dd><dt><span>units :</span></dt><dd>kg/m2</dd></dl></div><pre class='xr-var-data'>[762036 values with dtype=float32]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>MS_WIND</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4c5af86c-d37c-45dc-8c9c-3a42ec6d9805' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4c5af86c-d37c-45dc-8c9c-3a42ec6d9805' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18ed126a-0955-45c8-b860-68cd95096813' class='xr-var-data-in' type='checkbox'><label for='data-18ed126a-0955-45c8-b860-68cd95096813' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>[762036 values with dtype=float32]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c2414a80-16b9-4cc0-ba13-05725c830c6f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c2414a80-16b9-4cc0-ba13-05725c830c6f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c177982-5c04-45ac-aac0-5937d5dd1c78' class='xr-var-data-in' type='checkbox'><label for='data-5c177982-5c04-45ac-aac0-5937d5dd1c78' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>units :</span></dt><dd>kg/m2/s</dd></dl></div><pre class='xr-var-data'>[762036 values with dtype=float32]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>hur</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-01e1545c-fb77-4c52-bee3-7ce02ccca59f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01e1545c-fb77-4c52-bee3-7ce02ccca59f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-edad8d9b-ed4f-4de9-9dbf-a3f5f9293a33' class='xr-var-data-in' type='checkbox'><label for='data-edad8d9b-ed4f-4de9-9dbf-a3f5f9293a33' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><pre class='xr-var-data'>[762036 values with dtype=float32]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>snow_density</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9b0aebf8-aa3d-45ae-9264-1105aa9641ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b0aebf8-aa3d-45ae-9264-1105aa9641ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e51ad12d-3860-46fa-ab1e-f46021fcd728' class='xr-var-data-in' type='checkbox'><label for='data-e51ad12d-3860-46fa-ab1e-f46021fcd728' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>snow_density</dd><dt><span>units :</span></dt><dd>kg/m3</dd></dl></div><pre class='xr-var-data'>[762036 values with dtype=float32]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>SFC_SUBL</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-710da0f4-381d-49b4-81cf-3cdcb8656246' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-710da0f4-381d-49b4-81cf-3cdcb8656246' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4908231-0066-4eb2-97f9-62528cd9b5cc' class='xr-var-data-in' type='checkbox'><label for='data-d4908231-0066-4eb2-97f9-62528cd9b5cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>Surface_evaporation_sublimation</dd><dt><span>long_name :</span></dt><dd>Evaporation and sublimated mass from surface (positive = downward flux)</dd><dt><span>units :</span></dt><dd>kg/m2</dd></dl></div><pre class='xr-var-data'>[762036 values with dtype=float32]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>SURF_ALB</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fec4da81-02ca-4102-a9c8-211596322eaf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fec4da81-02ca-4102-a9c8-211596322eaf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96362447-ffe4-44d2-891a-0d3f9a83ca63' class='xr-var-data-in' type='checkbox'><label for='data-96362447-ffe4-44d2-891a-0d3f9a83ca63' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>[762036 values with dtype=float32]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>swe</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c4d81775-412e-4b66-979f-228016f5f815' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c4d81775-412e-4b66-979f-228016f5f815' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b5ea7a9-75b2-4d3f-9953-1c92100c34f3' class='xr-var-data-in' type='checkbox'><label for='data-5b5ea7a9-75b2-4d3f-9953-1c92100c34f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_surface_snow_amount</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><pre class='xr-var-data'>[762036 values with dtype=float32]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>ta</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-85c49b8a-a221-453d-a166-f78763d1618f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85c49b8a-a221-453d-a166-f78763d1618f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29db25f9-f9ce-454f-bd7b-d9e53e4fb2b1' class='xr-var-data-in' type='checkbox'><label for='data-29db25f9-f9ce-454f-bd7b-d9e53e4fb2b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>near surface air temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><pre class='xr-var-data'>[762036 values with dtype=float32]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>TOP_ALB</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-48cc21f8-7293-4a2c-9556-e5b8748b7a92' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-48cc21f8-7293-4a2c-9556-e5b8748b7a92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63e22b69-46f8-4295-a66e-2207bbe1239a' class='xr-var-data-in' type='checkbox'><label for='data-63e22b69-46f8-4295-a66e-2207bbe1239a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>[762036 values with dtype=float32]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>TSG</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-142e2f5d-d33a-40f7-8635-6d293e464f52' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-142e2f5d-d33a-40f7-8635-6d293e464f52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-add1985d-c9b9-496a-bbb3-930d136d072f' class='xr-var-data-in' type='checkbox'><label for='data-add1985d-c9b9-496a-bbb3-930d136d072f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>[762036 values with dtype=float32]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-868f3ccb-8ece-4f85-830d-a6b5e4f189c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-868f3ccb-8ece-4f85-830d-a6b5e4f189c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-151db18f-4243-484d-88ad-601c2ab649ff' class='xr-var-data-in' type='checkbox'><label for='data-151db18f-4243-484d-88ad-601c2ab649ff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><pre class='xr-var-data'>[762036 values with dtype=float32]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>ws</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c20d716d-b01b-4f7b-af86-8a05b6aa5f98' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c20d716d-b01b-4f7b-af86-8a05b6aa5f98' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f71207e8-950d-4c01-9529-6a3e85768b78' class='xr-var-data-in' type='checkbox'><label for='data-f71207e8-950d-4c01-9529-6a3e85768b78' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>wind_speed</dd><dt><span>units :</span></dt><dd>m/s</dd></dl></div><pre class='xr-var-data'>[762036 values with dtype=float32]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>VW_DRIFT</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ee574e35-6792-4084-9043-b91ce94bae73' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ee574e35-6792-4084-9043-b91ce94bae73' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f18db860-64a3-46c1-861a-7d2ea21dd966' class='xr-var-data-in' type='checkbox'><label for='data-f18db860-64a3-46c1-861a-7d2ea21dd966' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>[762036 values with dtype=float32]</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>WINDEROSIONDEPOSITION</span></div><div class='xr-var-dims'>(time, northing, easting)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f3e2550c-ddff-4f1e-939b-e792fa878b7e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f3e2550c-ddff-4f1e-939b-e792fa878b7e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb8cda60-ca5b-4499-95ba-91f2c3897742' class='xr-var-data-in' type='checkbox'><label for='data-eb8cda60-ca5b-4499-95ba-91f2c3897742' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>[762036 values with dtype=float32]</pre></li></ul></div></li><li class='xr-section-item'><input id='section-b774b0c4-84cb-4a66-9505-a1dfe1b682ed' class='xr-section-summary-in' type='checkbox'  ><label for='section-b774b0c4-84cb-4a66-9505-a1dfe1b682ed' class='xr-section-summary' >Attributes: <span>(14)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>date_created :</span></dt><dd>2020-11-07</dd><dt><span>creator_name :</span></dt><dd>erke2265</dd><dt><span>source :</span></dt><dd>MeteoIO-3.00</dd><dt><span>history :</span></dt><dd>2020-11-08T00:25:35Z, erke2265@shas0817.rc.int.colorado.edu, MeteoIO-3.00</dd><dt><span>keywords_vocabulary :</span></dt><dd>AGU Index Terms</dd><dt><span>keywords :</span></dt><dd>Cryosphere, Mass Balance, Energy Balance, Atmosphere, Land/atmosphere interactions, Climatology</dd><dt><span>title :</span></dt><dd>Gridded data for various parameters and timesteps</dd><dt><span>institution :</span></dt><dd>colorado.edu</dd><dt><span>product_version :</span></dt><dd>1.0</dd><dt><span>Conventions :</span></dt><dd>CF-1.6,ACDD-1.3</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF-1.6</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>geospatial_bounds_crs :</span></dt><dd>EPSG:3031</dd><dt><span>geospatial_bounds :</span></dt><dd>Polygon ((-1557000.0000000000 -125000.0000000000, -1359000.0000000000 -125000.0000000000, -1359000.0000000000 13000.0000000000, -1557000.0000000000 13000.0000000000))</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                (easting: 66, northing: 46, time: 251)\n",
       "Coordinates:\n",
       "  * time                   (time) datetime64[ns] 1980-01-01T01:00:00 ... 1980-01-11T11:00:00\n",
       "  * northing               (northing) float32 -125000.0 -122000.0 ... 10000.0\n",
       "  * easting                (easting) float32 -1557000.0 ... -1362000.0\n",
       "Data variables:\n",
       "    dw                     (time, northing, easting) float32 ...\n",
       "    ERODEDMASS             (time, northing, easting) float32 ...\n",
       "    ET                     (time, northing, easting) float32 ...\n",
       "    snd                    (time, northing, easting) float32 ...\n",
       "    rlds                   (time, northing, easting) float32 ...\n",
       "    rsds                   (time, northing, easting) float32 ...\n",
       "    MS_HNW                 (time, northing, easting) float32 ...\n",
       "    MS_SNOWPACK_RUNOFF     (time, northing, easting) float32 ...\n",
       "    MS_WIND                (time, northing, easting) float32 ...\n",
       "    pr                     (time, northing, easting) float32 ...\n",
       "    hur                    (time, northing, easting) float32 ...\n",
       "    snow_density           (time, northing, easting) float32 ...\n",
       "    SFC_SUBL               (time, northing, easting) float32 ...\n",
       "    SURF_ALB               (time, northing, easting) float32 ...\n",
       "    swe                    (time, northing, easting) float32 ...\n",
       "    ta                     (time, northing, easting) float32 ...\n",
       "    TOP_ALB                (time, northing, easting) float32 ...\n",
       "    TSG                    (time, northing, easting) float32 ...\n",
       "    ts                     (time, northing, easting) float32 ...\n",
       "    ws                     (time, northing, easting) float32 ...\n",
       "    VW_DRIFT               (time, northing, easting) float32 ...\n",
       "    WINDEROSIONDEPOSITION  (time, northing, easting) float32 ...\n",
       "Attributes:\n",
       "    date_created:              2020-11-07\n",
       "    creator_name:              erke2265\n",
       "    source:                    MeteoIO-3.00\n",
       "    history:                   2020-11-08T00:25:35Z, erke2265@shas0817.rc.int...\n",
       "    keywords_vocabulary:       AGU Index Terms\n",
       "    keywords:                  Cryosphere, Mass Balance, Energy Balance, Atmo...\n",
       "    title:                     Gridded data for various parameters and timesteps\n",
       "    institution:               colorado.edu\n",
       "    product_version:           1.0\n",
       "    Conventions:               CF-1.6,ACDD-1.3\n",
       "    standard_name_vocabulary:  CF-1.6\n",
       "    cdm_data_type:             Grid\n",
       "    geospatial_bounds_crs:     EPSG:3031\n",
       "    geospatial_bounds:         Polygon ((-1557000.0000000000 -125000.00000000..."
      ]
     },
     "execution_count": 218,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds = xr.open_dataset(\"../output/grids/a3d_grids.nc\")\n",
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# SWE at end of model time period"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2ab298517400>"
      ]
     },
     "execution_count": 219,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds['swe'][-1,:,:].plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Delta SWE timeseries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function to calculate dswe time series\n",
    "def swe_ts(ds):\n",
    "    ts = ds['swe'] - ds['swe'].isel(time=0)\n",
    "    ts = ts.mean(dim='easting').mean(dim='northing') * 1000\n",
    "    return ts"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Delta SWE map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function to calculate timesum of variable\n",
    "def swe_map(ds):\n",
    "    dswe_map = ds['swe'].isel(time=-1) - ds['swe'].isel(time=0)\n",
    "    dswe_map = dswe_map * 1000\n",
    "    return dswe_map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Mass Balance Functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function to retrieve time series\n",
    "def return_ts(ds, var):\n",
    "    ts = ds[var][dict(time=slice(1,len(ds['time'])))]\n",
    "    return ts\n",
    "\n",
    "# Function to retrieve cumulative sum\n",
    "def return_time_sum(ds, var):\n",
    "    ts = return_ts(ds, var)\n",
    "    time_sum = ts.cumsum(dim='time')\n",
    "    return time_sum\n",
    "\n",
    "# Function to calculte domain average fields\n",
    "def return_domain_avg(ds, var):\n",
    "    ts = return_time_sum(ds, var)\n",
    "    ts = ts.mean(dim='easting').mean(dim='northing')\n",
    "    return ts\n",
    "\n",
    "# Function to calculate mass balance 1 time series\n",
    "def return_mb1_ts(ds):\n",
    "    mb = return_domain_avg(ds, 'MS_HNW') - return_domain_avg(ds, 'MS_WIND') - return_domain_avg(ds, 'ET') + return_domain_avg(ds, 'MS_SNOWPACK_RUNOFF')\n",
    "    return mb\n",
    "\n",
    "# Function to calculate mass balance 1 map\n",
    "def return_mb1_map(ds):\n",
    "    mb = return_time_sum(ds, 'MS_HNW') - return_time_sum(ds, 'MS_WIND') - return_time_sum(ds, 'ET') + return_time_sum(ds, 'MS_SNOWPACK_RUNOFF')\n",
    "    return mb\n",
    "\n",
    "# Function to calculate mass balance 2 time series\n",
    "def return_mb2_ts(ds):\n",
    "    mb = return_domain_avg(ds, 'pr') - return_domain_avg(ds, 'ET') + return_domain_avg(ds, 'WINDEROSIONDEPOSITION') - return_domain_avg(ds, 'MS_SNOWPACK_RUNOFF')\n",
    "    mb = mb - ds['MS_WIND'][dict(time=slice(1, len(ds['time'])))].mean(dim='northing').mean(dim='easting')\n",
    "    return mb\n",
    "\n",
    "# Function to calculate mass balance 2 map\n",
    "def return_mb2_map(ds):\n",
    "    mb = return_time_sum(ds, 'pr') - return_time_sum(ds, 'ET') + return_time_sum(ds, 'WINDEROSIONDEPOSITION') - return_time_sum(ds, 'MS_SNOWPACK_RUNOFF')\n",
    "    mb = mb - ds['MS_WIND'][dict(time=slice(1, len(ds['time'])))]\n",
    "    return mb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Delta SWE Plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2ab29871c080>"
      ]
     },
     "execution_count": 223,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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HRr3fR9x94rYH91ovSf3mMm64R98YnW9duV3SZZl5uaR/lfQGSYqISyVdJ+npkq6R9PsRsXSGeJekGyRdVHxdU0x/taSDmXmhpLdLemsxr9Mk3SjpuZKukHRjREx0ftUAAAAAdLN12YnKzL/OzKXbBndI2ln8/1pJH8zMucx8SNIDkq6IiB2SxjPzU5mZat15eumy1yzdYfqIpBdGREi6WtLtmXkgMw+q1XFb6ngBAAAAWFVrdL4qvrrJunyc7xg/JelDxf/PVqtTtWRPMW2h+P+x05de87AkZeZiRByWtHX59OO85kki4ga17nLpjD7vVi0AAACw4YUU9eo/1rHerVknKiI+JunM4/zojZl5c1HzRkmLkj6w9LLj1OcK09t9zZMnZu6StEuSLh4c6YJPPgAAAADolDXrRGXmi1b6eTHow/dJemHxiJ7Uult0zrKynZIeLabvPM705a/ZExF9kjZLOlBMf/4xr/lEG6sCAAAA9KTo0dH51uUaR8Q1kn5J0ksyc3rZj26RdF1EDEbEeWoNIPGZzNwr6UhEXFl83umVkm5e9prri/+/TNLHi07ZbZKuioiJYkCJq4ppAAAAABwh1Wq1Sr66yXr9TNQ7JQ1Kur3VJ9IdmfnTmfnFiPiwpHvVeszvtZm5NIbma/RvQ5zfWnxJ0rslvT8iHlDrDtR1kpSZByLizZI+W9S9KTMPdHzNAAAAAHS1ddmJKoYjP9HP3iLpLceZfqeky44zfVbSy08wr5sk3VRq4WL1DILTLvJHSj+y96hV5+YojGwbseoGx/0sK0cnMjDcrIf5qQWrzs3vmp+at+qaZuaOux5luJlSzYb5Vx1vle38Jz+PyMxYKbEJ3Xge973ddfGXsfr24OpAU6xUw8whs88jZkaOJA2Zdf3z3rm46uM+vU1jv282/Qyt+aPeObax6GZZmduw3/sVZctTvIyjhplbJPnXFbctunXu/nOzseoD3jm7zLW5Zh5Xbk6Uy82ycvOfFme87Eg3n0qqPpuxm/Ti43zrshMFAAAAoAsEn4kCAAAAAKyCO1EAAAAA2hJS1wXlVoFOFAAAAID29OjjfHSiAAAAALQnenNgid5bYwAAAAA4CdyJAgAAANA2d3j3jYROVFkRq2YilcmicPMH+s/dbNX1DXu7NMyMnDQzcty8BdX93BY312nvXY/Z83Q0zaAhNxPFVe+r/gTkZn8szHltdtjMBxkyt6GbdVILP8OkXvk8vf1cdZ5UvcQ6u9z957Ztd52HKs7ScXPpGvNe1o/kH/du7o7LXRdX/5B3DXAzuSRpYMy7TjXMDC03z3Bk27BVd+RRL2/Rvk6VYLdFc3s3Z83rj3mecz/svzDrb5tNO8asOvdYmTk4a9W5v98smuvitut6iby5mrnO6QYadomI6MmBJXpvjQEAAADgJHAnCgAAAEDbenFgCTpRAAAAANrTo0Oc994aAwAAAMBJ4E4UAAAAgLb14sASdKIAAAAAtCUiVCsx+vJG0XvdRgAAAAA4CdyJKqmx2NShfdMr1gw8cNCe3/S+GavOzVtws05cC0e9nBU376dMFpKbCeFmk7jL2D/o/TXF/auLu0/K5Ea465INL3dnYMTNgfGzZRxue6g6k0uSwswk6jf/1tS/Rn+SctuC5B9TI2Z+3cDkvFXnbut583zTN1x9xoqbUVUzM2PcvCb3/OAunzu/ka1eVpPkt5u5yTmrzs1HnHz4iFU3vX/la/KSMtfHpnmua1ScbRY1bxk3nzHqzc89z5nttYw58/zg1rnXSDfXaWjLkFVXJkTWzSIrkz3VLXpxYAk6UQAAAADaE73Zieq9NQYAAACAk8CdKAAAAABtCkbnAwAAAABX8DgfAAAAAGA13IkCAAAA0J6InrwTRScKAAAAQNt68TNRvbfGAAAAAHASuBPVhsYq4ZZlAv2y4YWILs54dYPjg/Z7O9yw3Vp4gX6dMLh5wKpzgzyrviU9MGwGypqhwWW44bhuO3QDAt33dQNEy/y9xw1ktN/brHMDSavmhjtKfsipewz486s28LOx4LWv/hLnw4UpL/Czf9Q737ia5v5z/8o7MObtkzLt9eCDh7x5mvvPDZmvOkTXDbyVpGkzOHjEPCeObPXa4rzZDt1zsbutj+w9atVJ/u8ZbviyHWxsJpq72yab5rXCvIZLUtP8Xc09J3aNCEVt4wUIr4ZOFAAAAID29WAnisf5AAAAAKAEOlEAAAAA2hRSrVbN12rvFHFTRDwREV84BSu2IjpRAAAAANoTUtTrlXwZ3iPpms6ukGfFz0RFxGnGPJqZ6X3qFAAAAADakJmfjIinrvVySKsPLPFo8bXSMCJ1SU+pbIkAAAAAdInoyYElVutEfSkzv2Wlgoj4fIXLAwAAAKBbhKrsRG2LiDuXfb8rM3dVNfMqrdaJ+jZjHk7NhpGSSsRArcrNY6kPeHVu9kd/xfkubjZPqQytppe3MLJ1xKqr93uZFS43q8bNJimT9r0462XLuHke7rq4+7nyzCQzR0SS3LQtd9vMT3n5YvZ+No+pTuSGuecbN7dlwWyHwxND3vu6GV9mDoyfQ+a/t51pYx5T7n52M5jc9Zh6fMqqk6QDZt7PWeZ+dreNm4Hmnm/ca4okzZjbcfuOMavOzS6aOThr1bncduPmKEp+G3P3n9seNp+72apzs7aiVn1Wk7ufsaJ9mfmctV4Ix4pHV2Z+/WiOiAlJ5yx/TWZ+bnkNAAAAgN4RilJ/CN4orD9RRMSbJf2kpC+rdTNGxb8v6MxiAQAAAFj3qn2cb+W3ivifkp6v1mN/eyTdmJnvPiVvfgz3mZtXSLogM717pAAAAABQocz8kbVehiVuJ+oLkrZIeqKDywIAAACgqzA630r+q6TPF+nAX/+EaWa+pCNLBQAAAKAr8JmoE3uvpLdKukf+4FcAAAAAsOG4nah9mfk7HV0SAAAAAN0leJxvJXdFxH+VdIue/Djf5zqyVOtYSBpYJVvAzRGRpAEzr8nNUXBzDxbM7JshM/ejZubPuJkVkp/14OYyNBvV3kQdn9hk1U3vn7HqymybqSe8jBc3JyebZl5GxRlHg+MD3vzMDCZJmj5gbm8zW8bNRHEzk9xj3tU/6m1DyT83uTlMTTM/yN2GaR6jbk5amcdL3P3iZm257WF+2jsXu5k7owNebp67fJLUyGr339yU996T5rZ5yvlbrDr3uidJY4e8tu3mvk3vm7bq3Gv9wFi155Ey+Ubu8ezmW7rmzPONm2foco89yf9daOOhE7WSbyn+vXLZNIY4BwAAANBzrE5UZn5PpxcEAAAAQJcJKeq9dydqxfuOEfF9q83AqQEAAACwEYVUq1Xz1UVWuxP1GxHxiFofBTqRX5f0F9UtEgAAAACsX6t1oh6X9Nur1Nxf0bIAAAAA6CYhBpY4VmY+/xQtx3FFxC9K+g1Jp2fmvmLaGyS9WlJD0s9l5m3F9GdLeo+kYUkflfS6zMyIGJT0PknPlrRf0g9n5leK11wv6ZeLt/u1zHzvKVo1AAAAYAMIRQ92otbtw4cRcY6k75X01WXTLpV0naSnS7pG0u9HxNJee5ekGyRdVHxdU0x/taSDmXmhpLerFRqsiDhN0o2SnivpCkk3RsREh1cLAAAAQJfzg2lOvbdL+s+Sbl427VpJH8zMOUkPRcQDkq6IiK9IGs/MT0lSRLxP0ksl3Vq85leK139E0jsjIiRdLen2zDxQvOZ2tTpe/3OlhXJyotzcCMnPZnBzW9yMgvlZM4PJzOepDXvvu/XSs6w6Sdp/76NWnZurMbh50KqbPThr1Y1uH7Xqjuw9atWVMbLVy4JxuRlaZXJWHG7mTt2PQlL/oNdmG25mknk8L0x585szM0zc3DB3+cpw81jcPLAy2XlVvu+mHf5xUvUx4GbVuBlMbrseHPfOc+6xJ0nDh7324HLzuzZv8tZl044xq27ffQesOkmab5r5cBW3h6qNbPOOgXq/3x7mJr3fH9ysR/cc5p6z3d+rBoa9C4t7Pmy9uVfmHqddpcsGhajCuuxERcRLJD2Smf/U6u983dmS7lj2/Z5i2kLx/2OnL73mYUnKzMWIOCxp6/Lpx3nNsctzg1p3uXR6rdqAOwAAAKBrRW8+zmd1oiJiRNIvSHpKZv77iLhI0iWZ2faofBHxMUlnHudHb5T0XyRddbyXHWdarjC93dc8eWLmLkm7JOnC/uG1+XMSAAAAgHXBvRP1x5LukvRtxfd7JP2JTmJo88x80fGmR8Q3SzpP0tJdqJ2SPhcRVxTve86y8p2SHi2m7zzOdC17zZ6I6JO0WdKBYvrzj3nNJ9pdHwAAAKD3RE+Ozuc+wHhBZr5NrcfmlJkzWjk7qm2ZeU9mnpGZT83Mp6rV2XlWZj4m6RZJ10XEYEScp9YAEp/JzL2SjkTElcXnnV6pf/ss1S2Sri/+/zJJH8/MlHSbpKsiYqIYUOKqYhoAAAAAR4iw3RXMR8SwisfdIuICSdV+0tSQmV+MiA9LulfSoqTXZubSJw1fo38b4vzW4kuS3i3p/cUgFAfUGt1PmXkgIt4s6bNF3ZuWBpkAAAAAgBNxO1G/IumvJJ0TER+Q9DxJr+rUQi1X3I1a/v1bJL3lOHV3SrrsONNnJb38BPO+SdJNlSwoAAAA0GNCoaj33uN8VicqM/86Iu6SdKVaN+1etxR+CwAAAKBHhfhM1IlExN9k5v7M/MvM/IvM3BcRf9PphQMAAACA9WbFO1ERMSRpRNK2YvCFpcEkxiX5qakbSESo3rdy39MNepOk/lEvd2qo4mA2NxDYDQgcHPdC62b3H7bqJGl4YsiqmzHDccd2bDLf+ZBV5QbwdSJkcWF20apzt6Eb7Do34K3z9L4Zq84NYXXDpiVpyFxnN7DVDYLsH/WOgQUzgNINke4b9s8NaQbKLs547as+4H0IuG/Ya1/zR73g0gHzvFkzl0+SFia9dbb3i3lM1ae9dXbb16J5bqg6AFnyjyk30Hz8HO+c7Qbeuu1akjaZ4exum3WPgTTXxT3P1furvzvg/v7gHgPu/quZAdHutl4w912zxDV8ZKt3nLrnzu7Rm6PzrdbS/oOk16vVYbpL/9aJmpT0ex1cLgAAAABdILpsZL0qrNiJysx3SHpHRPxsZv7uKVomAAAAAN0guBN1Qpn5uxFxmaRLJQ0tm/6+Ti0YAAAAAKxHVicqIm6U9Hy1OlEflfRiSf8giU4UAAAA0Mui9x7nc9f4ZZJeKOmxzHyVpGdIqnakAwAAAABdJlqdqCq+uoi7tDOZ2ZS0GBHjkp6QdH7nFgsAAAAA1idvHEjpzojYIukP1Rql76ikz3RsqQAAAAB0heyyu0hVcAeW+I/Ff/8gIv5K0nhm/nPnFmv9ilg9BypqXoaCJG05d7NV1z/qZULU+s18hNnHrDo372fTzglvfk9MWnWSNLRlxKo7sveoVTd+3g6rbvaQt87T+6atOjdXZrPZFiTp8G4vb+vIo9622XTWmP3eDjdbyc3fGDUzUSRp6vEpq85dRjdzxF0XNx+k6hwrSWqY0UDuOrsZNG5dNr0cstqwl8XSNLeh5Od3ublAo9tHrbrVcgeXuPlP2fTWuRPDEU8f8M6dW54ybtW5x5R7nXLbdZlat924qs4PcttNGW4WZtV1bj7cvJk75V6b3Xy9Mu+94YS67lG8KthnlIg4W9K5S6+JiO/KzE92asEAAAAAYD1yR+d7q6QflnSvpKWue0qiEwUAAAD0rGg9qtVj3DtRL5V0SWZ6z1oAAAAA6A0deER4vXPX+EFJ3sOoAAAAALCBuXeipiXdHRF/I+nrd6My8+c6slQAAAAA1r0Uo/Ot5JbiCwAAAABaIhid70Qy872dXhAAAAAA6AYrdqIi4sOZ+YqIuEetu3VPkpmXd2zJ1qmohwbHV84o2XrRafb80szBGNrqZQi5OVGbnzJr1bl5RIszXlaGm/shSbUBb12GzAyhgU1e7pSbuzM36a1z35C3Hqu1q+VqZq5GmPkW9X7vL0hzk97YMmFuw4aZYTJ/1M9icbM/3P3i5gKNn7PJqnOPeTeHbHB80KorM89+u816790skbNSJbctSNLijNcW3XV2t6HbHg6Yx95ZZt6cm7kjSbMHveuFewy452z3fV1lMtXc4+YvbUAAACAASURBVN49jwyb6zxjHqNue3XPxW57larffyPbhq06d5+4x5S7Dcv83uJqLKzNObGjuBP1DV5X/Pt9nV4QAAAAAN2Gx/m+QWbuLf7dfWoWBwAAAADWt9Ue5zui4zzGtyQzxytfIgAAAABdg9H5jpGZmyQpIt4k6TFJ75cUkn5MkvfwMwAAAICNqwc7Ue4aX52Zv5+ZRzJzMjPfJemHOrlgAAAAALAeuZ2oRkT8WETUI6IWET8myR/2CAAAAMDGE1HdVxdxO1E/KukVkh4vvl5eTAMAAADQy6JWzVcXWTUYICLqkn4gM689BcsDAAAAAOvaqp2ozGxExLWS3n4Klmf9i1DUV+4pj+zww3YPP/SEVZdmWGXfJi+wddgM7z390m1W3ZE9Xijv2Fn+eCRjZ59uvvdBq+7Q/Q9bdW6g39FHj1p1bgDlkb3e/CRpYcoLnz3tQq8t1ge8v/5EzbvVvmiG6LoWprx9Ivn7zzV32NvWbpCnG1TpBkbOlAgkbcx755Gq18UN3XSXb3DcW756vxdKLUmj20etOrd9uUG/C01vncfNdXH3nRvCKvnnBzeUdMHchm4Y6shWL6x1ev+MVSf5weIXXH2+VeeG6Lrb0A19dtejDPf8vtrvSmVV3bbdunqJY8UNsW42qw/wXWuMzndi/xgR75T0IUlTSxMz83MdWSoAAAAAXSCkGp2oE/n24t83LZuWkl5Q7eIAAAAAwPpmdaIy83s6vSAAAAAAukyo6waFqILViYqIzZJulPRdxaS/k/SmzPQ+CAMAAABgA4qe7ES5a3yTpCNqDXP+CkmTkv64UwsFAAAAAOuV+5moCzLzh5Z9/6sRcXcnFggAAABAF+nBO1FuJ2omIr4jM/9BkiLieZL8sUIBAAAAbEgMcX5ir5H03uKzUSHpgKTrO7ZU61itHhocXzmLaXjruD2/6b0HrLrDDz1m1fUNexkFA5tGrLpNOyesuv33eXlXfUNejpUk1frd5umJNRp+082qcbN0JD+rZtrMJhk2834GN3vZJG6OyNTj3vKtpb5hrx2WyWtyuBkmzXkvj0jy88XcdXb3c83MGXLz8Nz27+ZJleFuQzfTZnjUOye67eGImV935jO3W3WStPVpW626w7u9j0nX+7324C7j4ISX8dVsetcpyW9j7nXFzX8a2eZlXrnnbDevbL5EFt9CxTmAVecKVr0Ny2Q4uvlPbgYa1jd3dL67JT0jIsaL7yc7ulQAAAAA1r/o3oElIuJiSe+StD0zL4uIyyW9JDN/bbXXWmscEZsj4rclfVzSxyPit4q7UgAAAAB6WUQ1X6feH0p6g6QFScrMf5Z0nfNCRucDAAAA0ItGMvMzx0yznrdkdD4AAAAAbTq1j/NFxDWS3iGpLumPMvO/ncTs9kXEBZKymPfLJO11XsjofAAAAADadqpG54uIuqTfk/S9kvZI+mxE3JKZ97Y5y9dK2iXpaRHxiKSHJP2Y88J2RueTpIOSfrLkQgIAAABAu66Q9EBmPihJEfFBSddKaqsTVcznRRExKqmWmUfc1zI6HwAAAID2nbrH+c6W9PCy7/dIem67M4uIL0u6Q9LfS/qkSnTGrE5URPy6pLdl5qHi+wlJv5CZv1x+cbtbRKh/aOXNNj/pZ9+Mn3emVTe1d79V15j1sh6y6eWxNOerzTJYmPKzdA5/+RGrbsDMWekfrTY7YnCz976j271Mrr5JPxfLzZSam/Qybdy6TWeNWXXuPpEZVVMf8LK2JCm2eqP7pJnn4eZ8uXks7vz6x7zMtwUzz0bys4bc/dc0c53c/Tc47uWQuTlWtbp/Ua8Ne7VD5vnBXee5yTmrbmDU2zbT5vxWyztczj1WXEfNLKuBce+c7V6nph6fsuok/xo5s9+b57yZLza63cu8crOaGmaOXJo5VmVrrfnVzXNxieuAY3qf96kU95xdptbdL90iI5TVjay3LSLuXPb9rszctez7473RyTTKS9XqhH2npN+MiKdJ+qfM/IHVXuheYV681IGSpMw8KOnftbOkAAAAAHAc+zLzOcu+dh3z8z2Szln2/U5Jj57E+zXUGt68Iakp6XFJVjK3+6fvekQMZuacJEXEsCTvz2IAAAAANqaUstoblCv5rKSLIuI8SY+olen0oycxv0lJ90j6bUl/mJneo1/y70T9v5L+JiJeHRE/Jel2Se8tvZglRMTPRsR9EfHFiHjbsulviIgHip9dvWz6syPinuJnvxPRuq8YEYMR8aFi+qcj4qnLXnN9RNxffF3fyfUBAAAANp5UM6v5WvWdMhcl/Yyk2yR9SdKHM/OLJ7HwP6LWZ6H+o6QPRsSvRsQLnRe6A0u8LSL+WdKL1HoW8c2ZeVu7S7uaiPgetUbauDwz5yLijGL6pWr1OJ8u6SxJH4uIizOzIeldkm5Q68NhH5V0jaRbJb1a0sHMvDAirpP0Vkk/HBGnSbpR0nPUepbyrmKIxIOdWi8AAAAA7cvMj6r1u34V87pZ0s3FZ6FeLOn1kv6zpFU/lGl/6jYz/yozfzEzf+HYDlREfKrkMq/mNZL+29Ljg5m59GzitZI+mJlzmfmQpAckXREROySNZ+anMjMlvU/SS5e9Zumu2UckvbC4S3W1pNsz80DRcbpdrY4XAAAAAFNW9HWqRcSfFiP0vUPSqKSfkDThvLaq8Qi94Yp8F0v6zuLxu7+LiG8tph9vWMOzi689x5n+pNcUtwAPS9q6wrwAAAAAGFJSM6v5WgOflvQtmXm1Wk/bvV7SNzkv9MdUXlnp1Y6Ij0k63vjeb1RruSYkXSnpWyV9OCLO14mHNVxpuMN2XnPsst6g1qOCOnOI8TQAAACADeDHi48tfYek75X0W5L+QEb2VFWdqNIy80Un+llEvEbSnxWP5n0mIpqStunEwxruKf5/7HQte82eiOiTtFnSgWL68495zSdOsKy7JO2SpEu3jGeskj2y2s+XGz59i1U3uMXL55l54tDqRZL6x73sojRzYPrMDKaRM7z1laQHbrnbqhszs4u2fvOFXt0zLrHqDu3+C6uuMe9tw+3PeopV15qnlzExMOplDR3a7eVnzx/1sk5Gtnnty81CmjvsZd9I0qKZn2LPb8abn5tx5OZJNQ977aZMFpLbFmsT3jyrzoupmpvNI0mjY14+z6Yd3vnGzV5z94nbblyNBe99Ja2ajbjEzWFyj5Uje7zrWdNsh2WuzVHzauenvJw2dxu6+2XBPBc3O9C+olZZHpAkqW/A2zbu9cw9ptycOzeXTvJ/Z9qI8hQOz1expcb/f0j6g8y8OSJ+xXlhVY/zVXtESf9L0gskKSIuljQgaZ+kWyRdV4y4d56kiyR9JjP3SjoSEVcWn3d6paSbi3ndImlp5L2XSfp40Tm7TdJVETFRhAdfVUwDAAAAYOjyx/keiYj/IekVkj4aEYMy+0dW9zoifkbSB1YYue4nrMX03STppoj4gqR5SdcXHZ8vRsSHJd0raVHSa4uR+aTWYBTvUWs0jVuLL0l6t6T3R8QDat2Buk6SMvNARLxZrfHmJelNmXmg4vUAAAAAsD69Qq2B5X4zMw8Vg9X9J+eF7j3KMyV9NiI+p1YH57Zcdt8uM79QcoFXlJnzkn78BD97i6S3HGf6nZIuO870WUkvP8G8blJrfQAAAAC0oVsf5svMaUl/tuz7vZL2Oq+1bldl5i+r9ejcuyX9pKT7I+LXI+KC0ksLAAAAYGOo6FG+NXqcr21lcqJS0mPF16Jao+d9JCLe1qFlAwAAAIB1x/1M1M+pNTjDPkl/JOk/ZeZCRNQk3a9Wsi8AAACAHtPFo/O1zf1M1DZJP5iZu5dPzMxmRHxfREysMOgEAAAAgA0oJfXi4O5WJyoz/58VfvalYsCJZ1W2VAAAAAC6Qg/eiKosbLfqnKh1q9lIzU2uHPx56IFHV/z5cv2jQ1adG/y3OOuHkjoWpmesuk3nbLfqsun/rcINuNv99w9bdXOTt1t1277pTKtuy7mbrTo3xPC0p51r1UnS45/7qvne3vYeP2eTVeeGabohp8MTXvtfOOoFWkp+oGa936ub3u8dA2UCGR1uaLAbXCpJtbp3qj70oBdyesY3n2HVuceAuw07Ea5adZDnzMFZq25q0ds2Q+Y1YKC/7r2veSxL0vhO7/zgttlZc9u47SHMdj2yzQuFl6Tpfd5x7wZOu1c+NwDWDVx32+GAGXxehhsE7gYCz67yu1fZ+bnXx/qA3ztYqDjsHetbVVf9Hux/AgAAAOi2kfWqUO2fTgEAAAD0jMzeHFjCf9ZhZT3zOB8AAACA3mbfiYqIuqTty1+TmUsfzHhhxcsFAAAAoAswOt8JRMTPSrpR0uP6t+2Uki6XpMw80JGlAwAAALCu9eDTfPadqNdJuiQz93dyYQAAAABgvXM7UQ9LOtzJBQEAAADQXVJSswdvRbmdqAclfSIi/lLS1wfqz8zf7shSrWe5ei6EmysjSfu/8BWrzs0eWDjq5fPUB7wsETcrY/qJSasuav4YJNuf9RSrbt5c5yf++WtW3chWL0skzfE83UybuUNHrDpJ2rRjzKo7+oSXBTN2xqhV57aHhSkv18nOETGzU1rz9NqY+95uDpPbtt124x6jbl6MJI1u9/bzYbPdHDTzpCbO32LVudvafV/3OJH8vB+/fVU73lJ9wGuv7vu66ytJc5PeOdbdf/Nm7tvijHfdq9nbxh9Ly82wq1r/kJuN5WZHetuwz3xfyT+PHH30qFXn5gqODI9YdbVhb9u4+WLuuVjyt2PV54f1oPe6UH4n6qvF10DxBQAAAAA9yepEZeavSlJEbGp9m96fFwAAAABsaL0Ytmvd84yIyyLi85K+IOmLEXFXRDy9s4sGAAAAYL1rBe6e/Fc3cR8Q3iXp5zPz3Mw8V9IvSPrDzi0WAAAAAKxP7meiRjPzb5e+ycxPRIT3yUIAAAAAG1Iq1ezBoSXs0fki4v+W9P7i+x+X9FBnFgkAAABAV+jCR/Gq4D7O91OSTpf0Z5L+vPj/qzq1UAAAAACwXrmj8x2U9HMdXpYukatm1swdnlvx58sNjPZbdW4+z9yk995uzoM7v4c+cdCqGz97k1Un+Xlbbp6Hm3VyZK83+KSbQbNoZqI8+ql/seokaes37TQrH7OqRnacZtUN7vHywNwMGjsHpkS+y9A2rz1M75u26tz9PGVmK7m5YSPbvLyyMjlR7vlmi7vOj3vb0M046huuNpvHzYEpU+u2WTczaezgrFXXmPey0tz8IPc8V4absWdn55nXn9MumrDq5s38Osm/jpfJEHK47cY9P8ya7avMthkucc5xuG3WXWc3h8zOier393Fjwds2c5PeeaSb9OLofCt2oiLiv2fm6yPif+s4OVqZ+ZKOLRkAAACAdS3Vm4/zrXYnaukzUL/Z6QUBAAAAgG6wYicqM+8q/vvMzHzH8p9FxOsk/V2nFgwAAADA+teLo/O5HzS4/jjTfrLC5QAAAADQhXoxbHe1z0T9iKQflXReRNyy7EebJO3v5IIBAAAAwHq02mei/j9JeyVtk/Rby6YfkfTPnVooAAAAAOtfSmp2222kCqz2majdknZHxI9JejQzZyUpIoYl7ZT0lY4vIQAAAID1KaVV0n82JCsnStKHJX37su8bkv5E0rdWvkTrXKbUWFglJ8rMtpD8jInFWS9TwM2E6Bvydn2/mStTP+h9vK5ZIl/CzRo68riXzzM4PmDVHTXzU9y8mL5hb1u7OUOSlObZamDUW+dDD3h5Um4ml7vv3GwSd1t3gruto2bmDJkZJi53H0tSzTzfTJy/xapz95+7jP2jXkbO5nPHrTq3vUrS0ISXQXPwoJeJVzOzsTad5WVyTT58xKpzzzdlzE95GXuj20esurEzvLp99x2w6qrOpZOkNENv3Gu4+3uBm4XUN+QdUzNuDpmZb9Ti5T26bdHNayqTiVcl9/cvyW9j5bY31iv3bNuXmV8/i2bmfET4V24AAAAAGw6P863saxHxksy8RZIi4lpJ+zq3WAAAAADWv1SDTtQJ/bSkD0TE76nV4dwj6ZUdWyoAAAAAWKesTlRmflnSlRExJiky03s4GwAAAMCGxeN8K4iI7ZJ+XdJZmfniiLhU0rdl5rs7unQAAAAA1q8eHZ3PGz5Ieo+k2ySdVXz/r5Je34kFAgAAAID1zO1EbcvMD0tqSlJmLqo1zDkAAACAHrX0OF8VX93EHVhiKiK2qrWdFBFXSjrcsaUCAAAA0BUYne/Efl7SLZIuiIh/lHS6pJd1bKnWsaiFBlYJoC0T6Dc47oVLnvmsnVbdI3fstuoWzJBMNyxvYMwL5T36tWmrTpIWzIC7qoNd3UDghf5qt2GZdrPvX7wQyu2Xn27VNea9h5nrZoCoG9K8aacX6jqz3wtAlqS5w16o5fg5XmBrzQyCdEM33QDYqHvbeuJCbx9LUnPBa2OLs164qrsugxOjVt3ClBcM6ob3use85O+/qudXM/dzfcAL43bPI0Mlgoir3t5Vh+O6IdJuqKvkh2c3zQ+CuOtiB5DvNkOf7XX22797fnf3y9FH/fO7ww3HdcN7y7QbN0TXbV9Y39zR+T4XEd8t6RJJIem+zPSvTgAAAAA2nNbjfGu9FKfeip2oiHhBZn48In7wmB9dHBEp6YCkf8hMPh8FAAAA9JqUGj3Yi1rtTtR3S/q4pO8/wc+3SvplSd9b5UIBAAAAwHq1YicqM28s/n3ViWoigqwoAAAAoAelum9kvSq4YbubJd0o6buKSX8n6U2ZeTgzX92phQMAAACwvpnjxWwobk7UTZKOSHpF8TUp6Y87tVAAAAAAsF65Q5xfkJk/tOz7X42IuzuxQAAAAAC6w1LYbq9xO1EzEfEdmfkPkhQRz5M007nFWr9q9Vg12+nx+/bb8zvzmWdYdUNbN1t1bm6Lq7HgZWDMHfZyZep97s1P6fOPHLHqLtnkZZi4hoa8w8LNjnAzUYa3DVt1knR0r5erMfmwtw3dzBg362R6X7Wnh3q/n2HSNEcIctdly/lbrbpDD3rH/dhZm6y6mX1eptqB+x636sq89+Hd1WapR80/7qvk5sCUqR0ys/2a5nE/N+PlmrlZbgtNr27UzHyTpFqJWke938xAO9/LkVs46l1/3HOx5F/7Bjd75yY3E9I9L7nXHzerafyMEatO8rfN7EEv983NhKz6utIJbv6Tmw/XNXp0dD53L/60pN+LiK9ExFckvVPSf+jUQkXEMyPijoi4OyLujIgrlv3sDRHxQETcFxFXL5v+7Ii4p/jZ70REFNMHI+JDxfRPR8RTl73m+oi4v/i6vlPrAwAAAGDjWPVP7hFRk3RJZj4jIsYlKTMnO7xcb5P0q5l5a0T8u+L750fEpZKuk/R0SWdJ+lhEXFzkVL1L0g2S7pD0UUnXSLpV0qslHczMCyPiOklvlfTDEXGaWoNlPEetO5F3RcQtmenFgAMAAAA9rlcf51v1TlRmNiX9TPH/yVPQgZJa+2O8+P9mSY8W/79W0gczcy4zH5L0gKQrImKHpPHM/FRmpqT3SXrpste8t/j/RyS9sLhLdbWk2zPzQNFxul2tjhcAAAAAUyOr+eom7meibo+IX5T0IUlTSxMz80BHlkp6vaTbIuI31erofXsx/Wy17jQt2VNMWyj+f+z0pdc8XCzvYkQcVisk+OvTj/OaJ4mIG9S6y6Uzh6v9zBEAAACA7uJ2on6q+Pe1y6alpPPbfeOI+JikM4/zozdKeqGk/zMz/zQiXiHp3ZJeJOl4n9jLFaarzdc8eWLmLkm7JOnSLeNd1k8GAAAAOqNXH+ezOlGZeV7Vb5yZLzrRzyLifZJeV3z7J5L+qPj/HknnLCvdqdajfnuK/x87fflr9kREn1qPBx4opj//mNd8ovyaAAAAAD0q0x4Zt5Mi4uWSfkXSN0m6IjPv7OT7WaPzRcRQRPx8RPxZRPxpRLw+Ijr5XNujkr67+P8LJN1f/P8WSdcVI+6dJ+kiSZ/JzL2SjkTElcXnnV4p6eZlr1kaee9lkj5efG7qNklXRcRERExIuqqYBgAAAKC7fEHSD0r65Kl4M/dxvvdJOiLpd4vvf0TS+yW9vBMLJenfS3pHcedoVsXnkTLzixHxYUn3SlqU9NpiZD5Jeo2k90gaVmtUvluL6e+W9P6IeECtO1DXFfM6EBFvlvTZou5NVX3G657DXu6HJB249ctW3Wl/8xWrzv1Q3uEFLxNlzMx1OmBmmJxWIm/km0/zcpPc7I/BzV6elJtp02fmSbn5M3Uzz0OSxneOr14kadrMGnJtPtd7Xzf3Y9GsG5rwM7TcrLSjj0+tXiS/PbiZKNnwjpX+Ma+9zk8tWHWSNHuw2pwVNxNldr+XV1Z1ex0Y9TPkqs6gGRjtt+rc89eImSPn5geV0TTP7/3mObFv2KtzzyNzk15OlDs/Sdq0Y8yqq5nbe878vaBmJ894Bse9Y8DNfpKkmYerHV+saV4jw1wXt726x0qZa7N7PJeZZzdIrY9BITLzS5JUpBx1nNuJuiQzn7Hs+7+NiH/qxAJJUhHq++wT/Owtkt5ynOl3SrrsONNndYLOXmbeJOmmk1pYAAAAoIdV+JmobRGx/DG8XcXYBOuO24n6fERcmZl3SFJEPFfSP3ZusQAAAAD0mH2Z+ZwT/XClgeky8+bjTO8YtxP1XEmvjIivFt8/RdKXIuIeSZmZl3dk6QAAAACsW63H+U7N83wrDUx3qrmdKEJoAQAAADxZal2MznequUOc7+70ggAAAADoLutlYImI+AG1BsE7XdJfRsTdmXl1p97PvRMFAAAAAOtSZv65pD8/Ve9HJwoAAABA2yocna9r0IkCAAAA0JZUnrKBJdYTOlEl1Qf6tPnciRVrvueZfmDk4w8esuo+awZ5uiG67rOr37VtxKo72wxPHDvdm58kbT53s1Xnhpy6wXo7vvVcq27mCW/fzU95QZBluIF+izN+2Kj1vuYHR93A28UZL/xypuEfU1u/6WzzvR+x6g4/tM+qGzLX+aB5zJ/7XV47dMM+JalZcbCrG+TpHntuwLDbbtxQV8k/Tg+Z+2/L+VusOncZqw5NndzjB6a6ocVugGjDDEN19/P0fi8o2Q3QlaSBMS8s2Q1pdpfRPbe7wefuPnHDgCVp9pB3zXX3s3vurNW9IOKZSW9bN8zfl4a2eMsnSQNuSPrR6n8vwKlHJwoAAABAe1JqMDofAAAAAHhSvdmJ8u6NAgAAAAAkcScKAAAAQJuSx/kAAAAAoJxe7ETxOB8AAAAAlMCdKAAAAABtSWVP3omiE1VSc7GhqSeOrFjz1Bc+zZ7fyLavWnUXmDkr//T3D1t1Rxe9/IZzLlw5E2uJmx9UxuJstVkwbubIyBlevktzYcGqq5k5HUcfXbldLbdpp5ehtWBuQzcjpDFv5mpMeDlDs/LyPA7t9jNtJi7x2vawmYE29fiUVVcf8G7s+3k/3r6Lmp8T5T56UO/32uzApmrzXdyMnGx4+3ihA1ksYa6Lmyfl5uH1DXnnuaZ5zHeCe35omtcLt91MT3rnrwkzu0uSZsz8wXq/t4z95v5zc6fc+bm5YW6elCT1m7lhfUPeew+MeplcTfO4d6+57vWxzO83bv6Tu1+6Ro9+JorH+QAAAACgBO5EAQAAAGhLr+ZE0YkCAAAA0JZeHeKcx/kAAAAAoATuRAEAAABoWy/eiaITBQAAAKAtvTrEOY/zAQAAAEAJ3IkqaXF2UQfuP7BizebzzrDnN7LNy9MZ3DJm1T1vx7hV98Q9j1t181Ne5sHU49NWXf+Ylwch+bko7jac3uct44Ev7bbq3BwrN8dner+XDyL5OStuloibhTQ36bWHATNHZH7KzNoyc9Ik6eiefVbdxMU7rbrFmT1WnZv7MX6Od4w2zcydMhkmTTOHqdnw2vbY2du8+TXN7K4zvFy6yYces+oa834WS9OsdTOqZs3zQ+P+g1bdGZefbtW5WVsT5/mZSW7bds9L7jK6hszznJsVKPm5SUNbvevP0Se868+s2b6O7D1q1Y2YeXhR4hzrnpsaC16dy81oc49RN5/KzT+T/GUsc03rBpnSYg/eiaITBQAAAKBtPM4HAAAAAFgRd6IAAAAAtKVXc6LoRAEAAABoWyN7rxPF43wAAAAAUAJ3ogAAAAC0pVdzouhEAQAAAGgLn4mCZWGhqb17jqxYM3jHQ/b8Tr/Uy5Q6/JCXfbNpp5f90Tfs7fq5yTmrbnCzlwt09OCsVSf5mR7DE0NWnZuX4WYmzZjrUibHx3XAzJbZdslpVp2b/zRrrvP2Zz3FqquZWSxlTJl5LJKX/9Q37GWJ1Ae8bBI3X8zdNgvm/MpwM0wWZ73zQ23A24a1fu+8NDgxatWVMWBm2B3afdiqc6OQZswsnfq/7LfqhjuQC+TmOrnzdDOY3La9+dzNVp17/pKkfjNDqN7vfSrCvU5tMa97bh6Rm6M4d9g7liVp1tzPg8ODVp2bCemeOwcnvGPA5f5O0GJm09Wrv/bh1KMTBQAAAKBt3IkCAAAAAFNKajTNu3AbCKPzAQAAAEAJ3IkCAAAA0J5kdD4AAAAAsLUe5+u9ThSP8wEAAABACdyJAgAAANCWTGmxB+9E0YkCAAAA0JZefZyPTlRJffXQ1lVC86ae8IPZBse94Ma9dz1m1Z0/7oXbnXf15VbdwX992KpbmPKC+o7sPWrVSX6grOv0y3ZYdQtTXiDj4GZvW7vc8F5JGnKDG8/fWun89t13wKprmCGsExefY9VJXjuUpIWpaoODN497YZWLDe99m2Zw6ezBGauuExbnvWWc/KoXAOuGtY7tGLfqXGWCiAfMcFU3NPXoY965bt78xePg1IJVN7bDe0rf3SeSf00b2eqFnLphu815L4i4YQbelmkPbq17HXBDecfP2WTV1Wp+WLJj3mxfkh+O6x4rZd7b4V5L3X3SiWDqhtm2sb7RiQIAAADQnuROFAAAAADYUr05xDmj8wEAuIfIKgAAHdVJREFUAABACdyJAgAAANC2XrwTRScKAAAAQFuyRz8TtWaP80XEyyPiixHRjIjnHPOzN0TEAxFxX0RcvWz6syPinuJnvxMRUUwfjIgPFdM/HRFPXfaa6yPi/uLr+mXTzytq7y9eO9D5tQYAAADQ7dbyM1FfkPSDkj65fGJEXCrpOklPl3SNpN+PiKXxUN8l6QZJFxVf1xTTXy3pYGZeKOntkt5azOs0STdKeq6kKyTdGBETxWveKuntmXmRpIPFPAAAAACUkM2s5KubrNnjfJn5JUkqbiYtd62kD2bmnKSHIuIBSVdExFckjWfmp4rXvU/SSyXdWrzmV4rXf0TSO4u7VFdLuj0zDxSvuV3SNRHxQUkvkPSjxWveW7z+XasueITq/StnXGSzuepslmy99Cyrzs2JOrTby53aepm3jLW618/uH3Uzk/ycqInzt1h1g2Y21vAZE6sXSYr9k1ZdfcA7fIa2bvbqnvBzse67+T6rbtOOMauub9jLyNm808swGdg0atUtznjZSvV+/1RV3+LVjp3tZWhNfnWfVddvZqe43LwRN3dKkuoD3vHsZphM7/eyrNxlnN7nze+0i7xjeXrftFUnSf1DXkbVuHkMNBa8bTh/1MvI+dq0Vze554hV525DSRra4uX9uOvc1/COldHt3nnEzfEp8wva4oyXE+XmizXmzd8Lmma7MbOV3Lwrt91I/jEwN+md3+cmvVxBdz8vmuuc5jnb3nfyz7FVZ2OttUyp2WUdoCqsx9H5ztaTkzX3FNPOLv5/7PQnvSYzFyUdlrR1hXltlXSoqD12Xt8gIm6IiDsj4s7DDT+sDwAAAMDG09E7URHxMUlnHudHb8zMm0/0suNMyxWmt/Oaleb1jT/I3CVplyRdPDzae11tAAAA4LhSmb3363FHO1GZ+aI2XrZH0jnLvt8p6dFi+s7jTF/+mj0R0Sdps6QDxfTnH/OaT0jaJ2lLRPQVd6OWzwsAAACAqds+z1SF9fg43y2SritG3DtPrQEkPpOZeyUdiYgri887vVLSzcteszTy3sskfTxbXeLbJF0VERPFgBJXSbqt+NnfFrUqXnuiO2MAAAAA8HVrNrBERPyApN+VdLqkv4yIuzPz6sz8YkR8WNK9khYlvTYzlz5p+RpJ75E0rNaAErcW098t6f3FIBQH1BrdT5l5ICLeLOmzRd2blgaZkPRLkj4YEb8m6fPFPAAAAAC4enRgibUcne/PJf35CX72FklvOc70OyVddpzps5JefoJ53STppuNMf1CtYc8BAAAAtCElpT+I4YaxHh/nAwAAAIB1a83uRHWrgdF+nX3FjhVr3FwgSRrYNGLVnf+ip1p1MwdnrbrGvDdU++YLTjjy+5Mszpp5P2a2kiT1jQ5bdf0jXobJY5++36obP/c0q25mv5d5NfG0c606dxtK0tanect4ZK+3jGc845zViyQ99LGHrLoLrr3Sqjv6yNesujLc7Th+3srH8ZKZJw5ZdW6GiZtrlg3vz3phZrlJUtTMDJMj5nlkwVvGprkubi6dmyszY+ZOSdKQuV/cdXazlUa2eteAo/+636pz88UGRgesujK1bp7h1qd52UpjZk6Um+k0XSJTzc02c7f3rHltrpk5Q26mWs0+L/ntwc04cs9hLjf/yd13bv6Tm/1UZp5uu+kmjM4HAAAAAC4+EwUAAAAAZSRDnAMAAAAAVsadKAAAAABtaY3O13t3ouhEAQAAAGhPSs0eHFiCx/kAAAAAoATuRAEAAABo23p4nC8ifkPS90ual/RlSa/KTC+npA10osqK1XNZTv+Wi+zZ1QbMLJEzJqy6xz5zr1XXP+q976anX2bVHf0X731nvnbQqpOks176Eqtu8VEvu6hmZlQtTnl5Hkf2eOvSXPCyLco4/5rLrbpDDzxi1dX7vW0zOe3lgzxutsMymWouN0vk4L8+bNXVBupW3cy+6Urn1z/k7ZP+Enk/bm7L5MNHrDo3/2nBzJVxuZlc/aNeHpEkPXb341adm0EzPOGdY93csLFBrz18zTxGR/dMWnWStGnHmFU3tdiw6raa7zt/1FsX95h3s5ok/1hZMN97fsrLr8tJr3256+xmHI1vH7fqJD+Pss88h9XNc+LUE1NWnZsbVu/33tddPsnPf3LPYd1kPXSiJN0u6Q2ZuRgRb5X0Bkm/1Kk343E+AAAAAF0tM/86M5d60XdI2tnJ9+NOFAAAAIC2ZGaVYbvbIuLOZd/vysxdbcznpyR9qKJlOi46UQAAAADaltWNzrcvM59zoh9GxMcknXmcH70xM28uat4oaVHSB6paqOOhEwUAAABg3cvMF63084i4XtL3SXphVtizOx46UQAAAADalt5YLB0VEdeoNZDEd2emN9rTSaATBQAAAKAtmaryM1En452SBiXdHhGSdEdm/nSn3oxOFAAAAICulpkXnsr3oxMFAAAAoG3rJCfqlKIT1QF9E6fbtWGG7Y4/43lW3cDW07w3bnoPr9bNdRm7+BKrrm/IC5aUpMbXvKBYd11qq4QkL3FDFt1Qvcc+c59VN7zVC7SUpPFve6ZVd+SrXoDovi94wbOXfOc5Vt3uT+626rZf7rUvN7RRkqLmhRhOmmGjVYcnXnT1s6w6Nzj7iXses+ok6bSLvPNDY8ELTd12iRebemj3YavODUNtzHvLt+ks/5hqLHjH/dTjXuCnG0jqcgM/N5v7bm7SC39tvfeMVTdv/hJ16MFDVt3mc70w7ul9/3979x5lV1necfz7y8zkfiWBEBIgICA3ESVcvKCIiOBSiRUq6pKgtS61XWpdrmqrFlFqxbVakOoCaYuAFkpFERSRggIqBSThmhgwIYUaiEAu5J6ZJPP0j/NOPUzm8uzDmcwk8/usddacefezb8/Z5z3zzt5nP8ntSxYiBhgzOfdZle0fsrLFe7N9YiQ/H7OFs6FCIeLk+3TUpPzfBRnZ12TstDGpuGxBbIBNyaLr6WUuSa96cMXwHES52K6ZmZmZmVkFPhNlZmZmZmYNCjoH9m7iQ5IHUWZmZmZm1pDAl/OZmZmZmZlZP3wmyszMzMzMGjNMbyzhQZSZmZmZmTVsiBTb3al8OZ+ZmZmZmVkFPhNVVfRfIyG25WtRtB12fCquc/SEVNzI156RiosRyRoTo8al4lpnrknFjZ8xOxUHoLaRqbjO9bmaI5P3nJlb3rpVqbhpRx+Sinv2/ly9n9bRuf0FaDvgiFTchP2WpeKydT9ax+XqaqxJ1oHJ1ncZNTGfm2w9nQkzcjWE1i1fn4rbuiH3vl+1KPeaZOsRbUvWlQEYOWFsKq6lLZfDZx99LhU37dBcPalsnaiNz+ZqsWSXB/naMiPHt6Xitnfk3lPt69pTcVljk/VnqtS+ydZeG5OsxdeZzPXaZH2x0VNy9RZbWvP/N962Ofe+ysZl8509DrM5TMclj9cqsvXm2pI1rzQi9/pt3JZb77jkey9blw7y9eZ2R+G785mZmZmZmeVExLD8TpQv5zMzMzMzM6vAZ6LMzMzMzKxhw/HGEh5EmZmZmZlZw6Iz/92x3YUv5zMzMzMzM6vAZ6LMzMzMzKwxEcPyTJQHUWZmZmZm1pDAgyjLEKifWhhtM1+WXlznuD1yq+3I1YzpnDA9ubxcnRVtTdZZiebXRoj23Lq3r8nVqlFrrr5LS7Ke1IjRuRpaew1AxxJ7H5yKm/a2uam4qVtzNY62Pf90Km7143/ILS9Z46g1WUcEoH1dRypur1fl3qebVj6WisvWi9m8akMqbvw+udpwVeqSdG7NbWO27s6qJ3L14bJGJGt8jUoeD1VqMG1NHosTZ+Vel2x9sY5Nuf5hc7KW26RkraYqRo7P1WnbY3quT8y+zptX5j6nOjbm+q8xyeMa4Olncq9fW7IW2cR9c8dNx/LcvmzemOznDsr9jdGZPL4gX8sqK1uHKVsvcFzyNcnWcoN8Lb7ssZitxWdDmwdRZmZmZmbWmIDY7jNRZmZmZmZmScPzcj7fnc/MzMzMzKwCn4kyMzMzM7PG+O58ZmZmZmZm1QzHQZQv5zMzMzMzM6vAZ6LMzMzMzKwhrhNlZmZmZmZWRQzPy/k8iKpoRGsr4/ae2mfM9rWr8svbL3dF5bbf3puKazv4Vel1Z3SuXJ6Ky+5zldy0TJ2RiuvcuC4V17FqdSpu1D65YruthxydW94huddky2MLUnEAWv7bVNzWZ/83FTfihDNScXHYSam4Q1etSMU9ds1dqbhZb3xlKg7gqdsfTMVt3ZgryDiiRam4sdPGpOKyhSXbcnVLmXZ4rsA2QMe6XPHSbFHSCXvnNnJLsvhltsjvtMP3TMWtXprvbzY9lusfsjqTr3PWyBG543DDhlwR1nF7jU2vO1tIOltEN/ue6q+wfVVt43IF1wFalNvG9aty76mZx+U+z7L9w9qFz6fiOpJFeasUNO9MFtvNxm1atTm97oy28bnXOTpzxXa3bckXIs7amnxdbGjzIMrMzMzMzBoUdPpMlJmZmZmZWdIwvcX5oN2dT9JZkhZJ6pQ0p679LZIWSHq0/Dy5btoxpX2ppEuk2vl2SaMkXVfa75M0u26eeZKWlMe8uvYDSuySMu/InbPnZmZmZma2KxvMW5wvBP4E+GW39pXAOyLiFcA84Lt10y4FPgIcXB6nlfY/A9ZExEHARcCFAJL2AM4DjgeOA86TNKXMcyFwUUQcDKwpyzAzMzMzs6SgdmOJZjx2JYM2iIqIxRHxeA/tD0bEM+XXRcDocqZpBjAxIu6JiACuBuaWuDOAq8rz64E3l7NUbwVui4jVEbEGuA04rUw7ucRS5u1alpmZmZmZZUQQ27c35bErGerFdt8NPBgR7cBMoP5WcctLG+Xn7wEiYhuwFpha395tnqnACyW2+7J2IOkjkuZLmr96U+4uU2ZmZmZmtnsa0BtLSLod2LuHSZ+PiBv7mfcIapfcndrV1ENY9DOtanuPIuJy4HKAo2ZMy92z08zMzMxsGNjVLsVrhgEdREXEKY3MJ2kWcANwTkQ8UZqXA7PqwmYBz9RN2xdYLqkVmASsLu0ndZvnTmrfu5osqbWcjapfVn/bxoi2vtPWuvd+mUUBsG3slP6DKth4549SceNPfFsqrmVS3zWxumxeOD8Vt+Kehak4gNYxuXt9TD/u8FTcpufWpOJG7zc7Fbdtz5el4lrG5Op56He5+kYAGxbcnYrr71jtMn7l/6TiWjoWp+J0bO6tP/6OB1Jxqxc/mYoDGJmsBfP8w0+l4rK1b1racif2t27cmoprX9eeitOI/AUFLzy1NhU35cBcvzR5/0mpuJVbcnWGOpK5GTkxV59qREvuPQ8walKuv9m8MlfTJlvjqKMzl5vRyeVt6Mgtb8OKDak4yNfvakm+V5SseZV9L699bmMqbsqBk1NxABPbcvuysj2X7/XJfGdrco0flevbNz6bq2NVJTfNlq47layh1ZJ87bJ1otrG5e87lu23dzu+O9/QIGkycDPwNxHx/38pRsQKYL2kE8p3ms4Bus5m3UTtJhQAZwK/KN+buhU4VdKUckOJU4Fby7Q7Sixl3j7PjJmZmZmZmcHg3uL8XZKWA68BbpZ0a5n0l8BBwBclPVQee5VpHwP+FVgKPAHcUtr/DZgqaSnwaeBzABGxGvgKcH95fLm0AXwW+HSZZ2pZhpmZmZmZpcWwvDvfoBXbjYgbqF2y1739AuCCXuaZDxzZQ/sW4Kxe5rkCuKKH9mXUbntuZmZmZmYNqN3iPHd55O5kyF3OZ2ZmZmZmNpQN2pkoMzMzMzPbxQ3TG0t4EGVmZmZmZg3zIMrMzMzMzCwrgs5hOIhS7W7flnXUPnvGT/98bp8xLaPzNQXG7pWrx7JlVa6+S+f23Bf7tqxal4prf2F9Kq5tXK6OyPrl+botT/9mRSouW99iz8P36j8IGJN8TTauWJWKy77GIyeOTcUBbHg6V3tq88rc67d9a+64ieTxNfWwWf0HAdu35mqiPHNvro4VwPZkLZGsbO2bURNHpeI2rczVbcnWk8rWWKliREuujk+zbU3Wk9o0ALVYxiZfv2ytmo3Jej/ZVLcoF9jROXif6XtMz9Xvymodk62FlKsTla3dBdA6OrfuF5Lv583JvnNksobW9P1yNdq2buxIxbWvzcVB/nVpGdncr91XqYmXsS3Z32gA+sNI9tunL3toQUTMafoGNFnL+Okx+uj3NWVZm+6+eJfYZ/CZKDMzMzMza1AAsX34nYnyIMrMzMzMzBozTG8s4Vucm5mZmZmZVeAzUWZmZmZm1qDheSbKgygzMzMzM2vYcBxE+XI+MzMzMzOzCnwmyszMzMzMGjNMbyzhOlEVSXoeeGonrnIasHInrm84cE6bzzltLuez+ZzT5nI+m885ba7dIZ/7R8Seg70R/ZH0M2r5boaVEXFak5Y1oDyIGuIkzd9Vio7tKpzT5nNOm8v5bD7ntLmcz+ZzTpvL+bSB5u9EmZmZmZmZVeBBlJmZmZmZWQUeRA19lw/2BuyGnNPmc06by/lsPue0uZzP5nNOm8v5tAHl70SZmZmZmZlV4DNRZmZmZmZmFXgQZWZmZmZmVoEHUQNE0lmSFknqlDSnrn22pM2SHiqPy+qm3Snp8bppe5X2UZKuk7RU0n2SZtfNM0/SkvKYV9d+QIldUuYdWdol6ZKyrEckvXpn5KMZquZU0lhJN0t6rMz3tbp5zpX0fN08H66bNixy2uAxeoykR8u+XiJJpd3HKL3ntG76fpI2SPpM+X1CXZ4fkrRS0sVlmo/Rivksbe5H+9DAMep+tA8NHqPuR/vQW04lHVd3rD0s6V2l3f2oDY6I8GMAHsBhwMuBO4E5de2zgYW9zPOi2Lr2jwOXlednA9eV53sAy8rPKeX5lDLtP4Gzy/PLgI+V528DbgEEnADcN9i5GqicAmOBN5XnI4FfAaeX388FvtnDPMMmpw0eo78BXlP29Za6fPoY7SOnddN/AHwf+Ewv8y8A3uBjtPF89hHrY7SBnOJ+dCCOUfejDeS0HIut5fkM4Lmu37vN737Uj53y8JmoARIRiyPi8SYt7gzgqvL8euDN5T9XbwVui4jVEbEGuA04rUw7ucRS5p1bt6yro+ZeYLKkGU3azgFVNacRsSki7ijPO4AHgFn9zDZsclo1n2WfJkbEPRERwNW8OAc+RvvIqaS51D6oF/Uy/WBgL2p/pPZl2OT0peSzBz5GqZ5T96N9q5pP96P96y2n5VjcVn4dDexwZzT3o7YzeRA1OA6Q9KCkuySd2G3ad8op5y92neIHZgK/BygdyFpgan17sby0TQVeqOtsutrpY55dXV85RdJk4B3Az+ua311OyV8vad/S5pzW9JTPmdT2rUuPOfAxuiNJ44DPAuf3EfZeav95rv/DwMdoDxL5dD9aUeYYdT+a10c+3Y++BJKOl7QIeBT4aN2+d3E/ajtN62BvwK5M0u3A3j1M+nxE3NjLbCuA/SJilaRjgB9JOiIi1gHvj4inJU2gdgnAB6j9l0o9LCcaaKefaYNuAHKKpFbgWuCSiFhW5vkxcG1EtEv6KLX/Np3MbpbTZuaTxnKwW+UTGs7p+cBFEbHhj3/T7+Bsau/5Lj5GG8un+9EBOEbdjzYtn+5HaTinRMR9wBGSDgOuknRLRGypCxmW/agNDg+iXoKIOKWBedqB9vJ8gaQngEOA+RHxdGlfL+ka4DhqH/7LgX2B5eWDbBKwurSfVLf4WdSuIV5J7TRza/lvyizgmRLTtaz6eZ5hiGh2TkvI5cCSiLi4bp5VdYv4F+DC8ny3ymmT87mcF1/G01MOfIz27HjgTElfByYDnZK2RMQ3ASS9ktq1/Qvq1uNjtHe95tP96MAco7gfrarHfFIb2LsfbSyn9fMvlrQROJLyWT+c+1EbHL6cbyeTtKeklvL8QOBgYJmkVknTSnsb8HZgYZntJqDrzjFnAr8op6pvBU6VNEXSFOBU4NYy7Y4SS5n3xrplnaOaE4C1EbFiAHd5wPWW0/L7BdQ+iD7VbZ7665jfCSwuz4d9TnvLZ9mn9ZJOKJdIncOLc+BjtBcRcWJEzI6I2cDFwFfr/jiF2iUo19bP42O0d73l0/1o4/o6Rt2PVtdbPt2PNk61u+a1luf7U7v5xJN1Ie5HbeeKIXB3i93xAbyL2n8t2oFnqb05Ad5N7UumD1P7gu47Svs4aneUeaRM/wbQUqaNpnZ3n6XU7upzYN16PlTalwIfrGs/sMQuLfOOKu0CvgU8Qe2a4h3uJjRUHw3kdBa1U+2LgYfK48Nl2j/UzXMHcOhwy2nVfJZpc6j9UfoE8E1APkb7z2m3mC/R7e581Ab9h3Zr8zFaMZ+4Hx2InLofbWI+y+/uRxvIKbXL9BaVY/ABYG63+dyP+rFTH11vXDMzMzMzM0vw5XxmZmZmZmYVeBBlZmZmZmZWgQdRZmZmZmZmFXgQZWZmZmZmVoEHUWZmZmZmZhV4EGVmZmZmZlaBB1FmZkOMpC9LOqWB+WZLel/d73MkXdLcrRtaJG0oP/eRdP1LWM6nJI2tOM+dkh6X9M4K84yR9JCkjq7CwGZmtutxnSgzs0EgqSUitjd5mSdRK+r59mYud6iQ1BoR27q1bYiI8U1Y9pPUimeurDDPndTyPX9nrM/MzIYOn4kyM2uicjboMUlXSXpE0vVdZzgkPSnp7yT9GjhL0tGS7i1xN0iaUuKulHRmeX6MpLskLZB0q6QZpf0gSbdLeljSA5JeBnwNOLGc6fgrSSdJ+kmJ30PSj8q67pV0VGn/kqQrylmVZZI+0ce+HVvmHy1pnKRFko7sI/6vJT1atvFrpa23fe6t/U5JX5V0F/BJSQdIukfS/ZK+0i3vC8vzcyX9UNLPJC2R9PW6uEslzS/bfn5p+wSwD3CHpDtK26llPQ9I+r6kfgdqZVsvkvRLSYtLvn5YtuGC/uY3M7NdhwdRZmbN93Lg8og4ClgHfLxu2paIeH1E/AdwNfDZEvcocF79QiS1Af8MnBkRxwBXAH9fJv878K2IeCXwWmAF8DngVxFxdERc1G2bzgceLOv627LuLocCbwWOA84r691BRNwP3ARcAHwd+F5ELOwpVtLpwFzg+LKNXQOZ3va5r1xMjog3RsQ/At8ALo2IY4E/9LTu4mjgPcArgPdI2re0fz4i5gBHAW+UdFREXAI8A7wpIt5ULrP7AnBKRLwamA98uo911euIiDcAlwE3An8BHAmcK2lqchlmZjbEeRBlZtZ8v4+Iu8vz7wGvr5t2HYCkSdQGB3eV9quAN3Rbzsup/QF+m6SHqP1hP0vSBGBmRNwAEBFbImJTP9v0euC7Jf4XwNSyDQA3R0R7ubTsOWB6H8v5MvAWYA5/HBj15BTgO13bFRGre9vnRC6uq3v+OuDa8vy7faz/5xGxNiK2AL8F9i/tfyrpAeBB4Ajg8B7mPaG0313yPq9u/v7cVH4+CiyKiBUR0Q4sA/btfTYzM9uVtA72BpiZ7Ya6f9m0/veNFZYjan+Iv+ZFjdLEBrZJPbR1bVd7Xdt2+v5s2AMYD7QBo+l9f8SOeWhU93VklrvDPkk6APgMcGxErJF0JbV96E7AbRHx3ga2tWu9nd22oRN/5pqZ7TZ8JsrMrPn2k9Q18Hkv8OvuARGxFlgj6cTS9AHgrm5hjwN7di1LUpukIyJiHbBc0tzSPqp872o9MKGXbfol8P4SfxKwsiynqsuBL1K7nPDCPuL+C/hQ3ffB9uhtn5O56HI3cHZ5/v6K2z6R2oBsraTpwOl10+pzdy/wOkkHlW0fK+mQiusyM7PdmP8rZmbWfIuBeZK+DSwBLu0lbh5wWRloLAM+WDctIqKj3GDiknLJWytwMbCI2kDj25K+DGwFzgIeAbZJehi4ktola12+BHxH0iPAprLuSiSdA2yLiGsktQD/Lenkcnngi0TEzyQdDcyX1AH8lNp3sXrb575yUe+TwDWSPgn8oMr2R8TDkh6klr9l1AZkXS4HbpG0onwv6lzgWkmjyvQvAL+rsj4zM9t9+RbnZmZNJGk28JOI6PWudYll/Bj4p4i4o1nbZc0n3+LczGzY8uV8ZmZDiKQrgLH0cAmgDTmrgSvVQLFdat8p6xywLTMzswHlM1FmZvYi5VbcP+9h0psjYlW32Few413y2iPi+IHaPjMzs8HmQZSZmZmZmVkFvpzPzMzMzMysAg+izMzMzMzMKvAgyszMzMzMrAIPoszMzMzMzCr4Px5EB1YwiR0dAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1080x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate time series\n",
    "dswe_ts = swe_ts(ds)\n",
    "mb1_ts = return_mb1_ts(ds)\n",
    "mb2_ts = return_mb2_ts(ds)\n",
    "\n",
    "# Calculate Maps\n",
    "dswe_map = swe_map(ds)\n",
    "mb1_map = return_mb1_map(ds)\n",
    "mb2_map = return_mb2_map(ds)\n",
    "\n",
    "# Plot time series\n",
    "plt.figure(figsize=(15, 5))\n",
    "plt.plot(dswe_ts['time'], dswe_ts, label='dswe')\n",
    "plt.plot(mb1_ts['time'], mb1_ts, label='mb1')\n",
    "plt.plot(mb2_ts['time'], mb2_ts, label='mb2')\n",
    "plt.grid()\n",
    "plt.legend()\n",
    "\n",
    "# Plots maps\n",
    "plt.figure(figsize=(15, 7))\n",
    "dswe_map.plot()\n",
    "\n",
    "plt.figure(figsize=(15, 7))\n",
    "mb1_map.isel(time=-1).plot()\n",
    "\n",
    "plt.figure(figsize=(15, 7))\n",
    "mb2_map.isel(time=-1).plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plot Differences between methods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<xarray.DataArray ()>\n",
      "array(0.0082451, dtype=float32)\n",
      "Coordinates:\n",
      "    time     datetime64[ns] 1980-01-11T11:00:00\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot time series differences\n",
    "ts_diff = mb1_ts - mb2_ts\n",
    "plt.figure(figsize=(15, 5))\n",
    "plt.plot(mb1_ts['time'], ts_diff, label='mb1 - mb2')\n",
    "plt.grid()\n",
    "plt.legend()\n",
    "\n",
    "# Plot map differences \n",
    "map_diff = mb1_map - mb2_map\n",
    "plt.figure(figsize=(15, 7))\n",
    "map_diff.isel(time=-1).plot()\n",
    "print(map_diff.isel(time=-1).mean())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Close dataset so it can be opened again without restarting the kernel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds.close()"
   ]
  }
 ],
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